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Hanson, Janet R.; Hardman, Sally; Luke, Sue; Lucas, Bill – International Journal of Technology and Design Education, 2022
This paper explores how primary teachers might be prepared through their pre-service training to feel more confident to include engineering in their teaching. Prompted by concerns about young people's lack of interest in STEM subjects and careers, engineering is gradually gaining visibility in the primary curriculum in several forms, particularly…
Descriptors: Preservice Teachers, Educational Strategies, Comprehension, Knowledge Level
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Leonard, Ann M.; Woodland, Rebecca H. – Theory Into Practice, 2022
There is a sense of urgency among P-12 educators to dismantle systemic school-based racism and radically transform conditions for teaching and learning in ways that advance equity, social justice, and social-emotional learning (SEL). This transformation cannot be achieved through typical top-down, short-term approaches to school improvement or…
Descriptors: Racial Bias, Social Justice, Social Emotional Learning, Communities of Practice
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Schoeffel, Pablo; Ramos, Vinicius F. C.; Cechinel, Cristian; Wazlawick, Raul Sidnei – Informatics in Education, 2022
This paper proposes and validates a short and simple Expectancy-Value-Cost scale, called EVC Light. The scale measures the motivation of students in computing courses, allowing the easy and weekly application across a course. One of the factors related directly to the high rate of failure and dropout in computing courses is student motivation.…
Descriptors: Student Motivation, Computer Science Education, Factor Analysis, Student Attitudes
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Yoshida, R.; Page, R. – PRIMUS, 2022
In the fall of 2009 and in the spring of 2012, supported by the National Institute of General Medical Sciences (NIGMS) in the National Institutes of Health (NIH), we designed a course "Phylogenetic Analysis and Molecular Evolution" (PAME), the first cross-listed course across three different colleges (College of Arts and Sciences,…
Descriptors: Molecular Biology, Evolution, Molecular Structure, Graduate Students
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Picones, Gio; PaaBen, Benjamin; Koprinska, Irena; Yacef, Kalina – International Educational Data Mining Society, 2022
In this paper, we propose a novel approach to combine domain modelling and student modelling techniques in a single, automated pipeline which does not require expert knowledge and can be used to predict future student performance. Domain modelling techniques map questions to concepts and student modelling techniques generate a mastery score for a…
Descriptors: Prediction, Academic Achievement, Learning Analytics, Concept Mapping
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Israel, Maya; Kester, Brittany; Williams, Jessica J.; Ray, Meg J. – ACM Transactions on Computing Education, 2022
Through a mixed-methods approach that utilized teacher surveys and a focus group with computer science (CS) instructional coaches, this study examined elementary teachers' confidence in meeting the needs of students with disabilities, the extent to which the teachers could use the Universal Design for Learning (UDL) framework in CS education, and…
Descriptors: Equal Education, Inclusion, Access to Education, Elementary Education
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Lunn, Stephanie; Samary, Maíra Marques; Hambrusch, Susanne; Yadav, Aman – ACM Transactions on Computing Education, 2022
Computer science education (CSEd) is a growing interdisciplinary area that continues to gain momentum from students, researchers, and educators. Yet, there are few formal programs or degree options for students interested in pursuing graduate work in CSEd. This article explores the existing state of CSEd in the United States (U.S.) through…
Descriptors: Educational History, Computer Science Education, Interdisciplinary Approach, Futures (of Society)
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Verner, Igor M.; Perez, Huberth; Lavi, Rea – International Journal of Technology and Design Education, 2022
Student engagement has been described as active involvement in a learning activity that significantly affects learning achievement. This study investigated student engagement in robotics education, considering it as an instant emotional reaction on interaction with the teacher, the peers, and the robotic environment. The objective was to…
Descriptors: Learner Engagement, High School Students, Robotics, Grade 11
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Qu, Jing Ru; Fok, Ping Kwan – International Journal of Technology and Design Education, 2022
This research focuses on student-robot interaction in the learning environment of robotics education (RE) and attempts to explore how it cultivates students' computational thinking (CT). Different from child-robot interactions as investigated in the social robot field, student-robot (S-R) interactions focus mainly on the process of interaction…
Descriptors: Robotics, Teaching Methods, Student Role, Thinking Skills
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Choudhary, Heena; Bansal, Nidhi – Digital Education Review, 2022
Digital literacy training programs (DLTPs) are influential in developing digital skills to help build a more inclusive and participatory ecosystem. This study reviews 86 studies related to DLTPs for marginalised populations in developed and developing countries. It aims to understand (a) the profile of DLTPs, (b) the digital competences…
Descriptors: Access to Computers, Disadvantaged, Digital Literacy, Developed Nations
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Bedebayeva, Maira; Grinshkun, Vadim; Kadirbayeva, Roza; Zhamalova, Kamshat; Suleimenova, Laura – Cypriot Journal of Educational Sciences, 2022
The purpose of this research is to determine the proficiency levels of teachers giving computer education in high schools regarding blended learning. In this study, the competencies of teachers who give computer education in high schools regarding blended learning were handled in accordance with the survey model, which is one of the quantitative…
Descriptors: Blended Learning, High School Students, Teaching Methods, Gender Differences
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Hundhausen, C. D.; Conrad, P. T.; Carter, A. S.; Adesope, O. – Computer Science Education, 2022
Background and Context: Assessing team members' indivdiual contributions to software development projects poses a key problem for computing instructors. While instructors typically rely on subjective assessments, objective assessments could provide a more robust picture. To explore this possibility, In a 2020 paper, Buffardi presented a…
Descriptors: Computer Software, Computer Science Education, Correlation, Engineering Education
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Hicks, Timothy Alex; Cohen, Jonathan D.; Calandra, Brendan – Technology, Pedagogy and Education, 2022
This mixed methods case study presents the experience of a group of middle school students in a year-long, after-school computing programme in a large, inner-city school district in the southeastern United States. The purpose of this research is to explore informal educational strategies that are conducive at giving underrepresented minority youth…
Descriptors: Middle School Students, After School Education, Computer Science Education, Informal Education
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Lai, Rina P. Y. – ACM Transactions on Computing Education, 2022
Computational Thinking (CT), entailing both domain-general and domain-specific skills, is a competency fundamental to computing education and beyond. However, as a cross-domain competency, appropriate assessment design and method remain equivocal. Indeed, the majority of the existing assessments have a predominant focus on measuring programming…
Descriptors: Computer Assisted Testing, Computation, Thinking Skills, Computer Science Education
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Fang, Jian-Wen; Shao, Dan; Hwang, Gwo-Jen; Chang, Shao-Chen – Journal of Educational Computing Research, 2022
Scholars believe that computational thinking is one of the essential competencies of the 21st century and computer programming courses have been recognized as a potential means of fostering students' computational thinking. In tradition instruction, PFCT (problem identification, flow definition, coding, and testing) is a commonly adopted procedure…
Descriptors: Computation, Thinking Skills, Programming, Computer Science Education
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